Table REF  shows the quantitative evaluation results of different single image reflection removal methods evaluated on Real20 dataset [1]}.
The training datasets consist of synthetically generated reflection-contaminated images using 7643 image pairs from PASCAL VOC dataset by following the settings in CEILNet [2]} and 90 pairs of real images from  [1]}.
The testing datasets contain 20 images from Real20 [1]}.
From Table REF , we can see that on Real20 dataset the proposed DURRNet achieves significantly better PSNR compared to other methods and achieves a similar SSIM results as YTMT method.
